(3 points)Control charts for individual measurements and wowing ranges were used to monitor theperformance of a chemical process over time. The process was found in a state ofstatistical control at:*=80 and, MR-1.2limits for this process.Assuming that the measurements are normally distributed, find the natural tolerance

Step 1: Understand the given informationWe are given:xˉ=80 (the process mean)MR=1.2 (the average…

Answered: (3 points) Control charts for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You want to estimate the mean hourly yield for a process that manufactures a face wash. You observe the process for 100 hourly periods chosen at random, with the results x‾=42x=42 ounces per hour and s = 4. Estimate the mean hourly yield for the process and calculate the 95% margin of error.
what is the lowest concentration of sulfate, in ppm, that this method can detect? CALIBRATION CURVE 5 4.5 3.5 y = 0.5545x + 0.045 R2 = 0.9683 2.5 2 1.5 1. 0.5 1 2 3 4 5 6 7 CONCENTRATION (PPM) 00 4. 3. INSTRUMENT RESPONSE
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Fifty male subjects drank a measured amount x (in ounces) of a medication and the concentration y (in percent) in their blood of the active ingredient was measured 30 minutes later. The sample data are summarized by the following information: n = 50 Ex = 112.5 Ex? = 356.25 %3D Ey = 4.83 Ey = 0.667 Exy = 15.255 0 < x < 4.5 Or= 0.875 Or= 0.709 Or= -0.846 Or=0.460 Or= 0.965
State the t critical value that would be used for a 99% interval based on a sample size of 37.
answer pls
IIlustration 23.7. It was found that when a manufacturing process is under control, the average number of defectives per sam- ple batch of 10 is 1.2. What limits would you set in a quality con- trol chart based on the proportion of defectives in sample batches of 10?
A student was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click here to view the bearing data. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. (a) Estimate 2 using multiple regression of y on x and x2. (Round to one decimal place as needed.) Bearing Data y x1 X2 194 1.7 844 173 22.2 1052 114 32.9 1362 230 15.7 809 95 42.9 1205 128 40.3 1106 - X
Total plasma volume by the overall health and physical activity of an individual. Suppose that a random sample of 40 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that o = 7.10 ml/kg for the distribution of blood plasma. is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced When finding an 99% confidence interval, what is the critical value for confidence level? (Give your answer to two decimal places.) z. = (a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit upper limit margin of error (b) What conditions are necessary for your calculations? (Select all that apply.) n is large the distribution of volumes is normal o is unknown the distribution of volumes is…
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Air samples for worker's exposure to oil mist were found to indicate the following levels in Table 1. Calculate TWA. Table 1 Sample Measured Amount Time of Sample 3 mg/m 28 mg/m Sample 1 2 hours Sample 2 6 hours (a) 6.57 mg/m³ (b) 6.75 mg/m' (c) 54 mg/m (d) 31 mg/m
Radon is a colorless, odorless, invisible gas that seeps into residential homes and has been linked to lung cancer. A generally acceptable safe level of radon is 4 pCi/L. A radon detection device measures the radon level once per hour at a randomly selected time throughout a one-week period. Then it calculates the mean radon level for the sample of measurements. Based on the sample results, the device performs a test of H0: µ = 4 Ha: µ > 4 where µ is the true mean radon level. Give a consequence of making a Type I error.

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